( en | de | ru )

 

Disambiguation of "Gui, Zhipeng"

Author of the publication

copydeleteadd this publication to your clipboard
AttentionFire_v1.0: interpretable machine learning fire model for burned area predictions over tropics

, , , , , , , , , , and . (2022)
DOI: https://doi.org/10.5194/gmd-2022-195

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhipeng Li

Lichuan Gui

Zhipeng Zhao

Li Gui

Gui Ruan

 

Other publications of authors with the same name

A Latent Feature-Based Multimodality Fusion Method for Theme Classification on Web Map Service., , , and . IEEE Access, (2020)FAST: A fully asynchronous and status-tracking pattern for geoprocessing services orchestration., , , , , and . Comput. Geosci., (2014)The Concept and Technologies of Quality of Geographic Information Service: Improving User Experience of GIServices in a Distributed Computing Environment., , , , and . ISPRS Int. J. Geo Inf., 8 (3): 118 (2019)A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction., , , , , , , , , and . Neurocomputing, (2020)LSI-LSTM: An attention-aware LSTM for real-time driving destination prediction by considering location semantics and location importance of trajectory points., , , , , , , , and . Neurocomputing, (2021)A Robust and Efficient Boundary Point Detection Method by Measuring Local Direction Dispersion., , and . CoRR, (2023)Design and implement of spatial statistical services based on GeoSquare., , , , and . Geoinformatics, page 1-5. IEEE, (2015)Enriching the metadata of map images: a deep learning approach with GIS-based data augmentation., , , and . Int. J. Geogr. Inf. Sci., 36 (4): 799-821 (2022)Evaluating open-source cloud computing solutions for geosciences., , , , , , , , and . Comput. Geosci., (2013)AttentionFire_v1.0: interpretable machine learning fire model for burned area predictions over tropics, , , , , , , , , and 1 other author(s). (2022)